marketing-loops
Teaches your AI agent to write copy that sells and organize and coordinate AI agents.
What it does
This tool helps set up marketing workflows that repeat automatically. Instead of doing a task manually each time, you configure a 'loop' that the AI runs at regular intervals (like every week or day).
When to use it
- ✓Automate ad checks to prevent them from becoming stale.
- ✓Create a weekly report on marketing performance.
- ✓Monitor SEO opportunities that change over time.
Example of what to ask your AI
“Create a marketing loop that checks weekly if ads are losing effectiveness and suggests new creative ideas.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
You define what the loop should do, how often (cadence), what conditions must be met to act, and how to check if everything is working well. The AI then executes these steps automatically.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add coreyhaines31/marketingskills --skill marketing-loopsOr download just the file:
curl -L https://raw.githubusercontent.com/coreyhaines31/marketingskills/main/skills/marketing-loops/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
Marketing Loops
You help set up marketing loops — repeatable marketing workflows an AI agent runs on a cadence, each with a defined trigger, a bounded set of steps, a self-check, and an explicit stopping condition. A loop turns a marketing task you'd otherwise do manually (and forget) into an always-on system: the weekly SEO opportunity scan, the ad-fatigue refresh, the churn-signal watch.
This is the operational cousin of marketing-ideas. Ideas tell you what to try once. Loops tell you what to keep doing on a schedule — and wire the other marketing skills together to do it.
How to Use This Skill
Check for product marketing context first: if .agents/product-marketing.md exists (or .claude/product-marketing.md, or the legacy product-marketing-context.md), read it before asking questions. Use that context and only ask for what's missing.
Then:
- Clarify the job. What outcome should this loop protect or grow? (rankings, ad efficiency, activation, retention, revenue, referrals)
- Pick a loop from the catalog in
references/loop-catalog.md— or adapt the closest one. - Tune the cadence to how fast the underlying signal actually changes (see the cadence rule below).
- Confirm the human checkpoint. Decide what the loop does autonomously vs. what it stages for human approval before publishing or spending — see
references/loop-guardrails.md. - Schedule it (see "Scheduling a loop" below).
Building more than one loop, or a whole marketing operating system? See references/loop-orchestration.md for how loops compose and the order to adopt them (start with tracking + a weekly review; don't build them all at once).
Anatomy of a Marketing Loop
Every loop in the catalog has these nine parts. When you author or adapt one, fill all of them — a loop missing a stop condition, a self-check, or its state handling is a liability, not an asset.
| Part | What it defines |
|---|---|
| Check cadence | How often the loop looks (weekly / daily / on-trigger). Match it to signal speed. |
| Acts when | The action condition — what must be true to actually do something, vs. just check and skip. Most runs of a good loop are "checked, nothing to do." |
| Purpose | The one outcome this loop exists to move. |
| Skills used | Which marketing skills the loop orchestrates each iteration. |
| Loop body | The ordered steps run each iteration. |
| Self-check | The verification done before acting — so the loop doesn't act on noise, seasonality, or a tracking bug. |
| State / idempotency | What the loop remembers between runs: last-run marker, dedupe key, cooldown window, "already handled" set. Without this, loops double-act, re-nag the same people, or re-alert the same thing. Non-negotiable for anything scheduled — see references/loop-state.md for where state lives and the idempotency patterns. |
| Stop / bail-out | When the loop skips, halts, escalates to a human, or disables itself — plus what it does on error. Every loop needs one, including heartbeat loops (their stop is "manual disable + error-halt," never "n/a"). |
| Output | Where results go: a file, a PR, a staged draft, a notification, a report. |
The Check cadence / Acts when split matters: a churn-signal loop might check daily but only act when an account crosses a risk threshold it hasn't been contacted about inside the cooldown window. Conflating the two produces loops that either miss the window or spam.
The cadence rule
Match cadence to how fast the signal actually changes — not to how often you'd like an update.
| Signal | Realistic cadence | Why |
|---|---|---|
| Rankings, backlinks, domain authority | Weekly | Move slowly; daily checks are noise |
| Ad creative fatigue, CPA drift | Every 2–3 days | Meta/Google feedback loops are days, not hours |
| Activation / onboarding funnel | Weekly | Needs enough signups to be significant |
| Churn signals | Daily or on-trigger | Early intervention window is short |
| Content / copy decay | Monthly | Traffic erosion is gradual |
| Competitor changes | Weekly | Pricing/positioning shifts are infrequent but matter |
| Social listening / mentions | Daily | Engagement windows close fast |
Over-frequent loops are the most common failure mode: they generate busywork, burn budget, and train you to ignore the output.
When NOT to loop
…
FAQ
What is a 'marketing loop'?
It's a marketing process that repeats by itself, like an automated task the AI runs on a set schedule (daily, weekly, etc.).
When should I not use a loop?
If the main work is strategy or creative direction, if the action involves publishing or spending money without review, if the signal is too weak to be significant, or if it's just for show without real utility.
How does the AI know when to act?
The loop has an 'action condition' that specifies what needs to happen for the AI to perform the task. Often, the AI just checks and does nothing if the conditions aren't met.
Details
Original description by the author
When the user wants to set up a recurring, self-running marketing workflow — a repeatable loop an AI agent runs on a cadence (weekly, daily, on a trigger) rather than a one-off task. Also use when the user mentions 'marketing loop,' 'recurring marketing workflow,' 'automate my marketing,' 'marketing on autopilot,' 'weekly marketing review,' 'ad fatigue check,' 'weekly ads check,' 'content refresh
Popularity
- GitHub stars
- 55k
- Ranking position
- #1780
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
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